trl-internal-testing

dummy-GPT2-correct-vocab

Chat
What we checked

File: check availability in Files.

Memory: Fit unknown. File size needed to check fit.

Last recorded run: none for this selected file.

License FFiles CRuns F

Recorded checks do not guarantee safety or performance on your computer.

See file checks and sources
Model details
Chat & writeNo license statedSHA-256 recorded for 6 of 10 filessafetensors
Quick answer: compatibility and sources

Can I run dummy-GPT2-correct-vocab on my computer?

It depends on your memory, processor, file format and runtime. A download is not confirmed by the current file evidence; inspect the file record before trying it. A file-size fit is an estimate, not a successful run or speed promise. Read the license before use.

dummy-GPT2-correct-vocab is an open-weights language model for text generation. Model weights are learned parameters; a runtime loads them. A hosted file is an individual file Hugging Bay can serve. SHA-256 identifies exact file bytes. The availability date above applies to this file record, not the upstream metadata update date.

As of the recorded file availability check on .

Recorded SHA-256 for model.safetensors: dc132db8b572ce6edbe952c14515e0691cfea57f8a7e74c2acee3f7bfc770576. Exact file evidence · Machine-readable source facts · Run evidence and any recorded receipts. A checksum fingerprints only the named file bytes; it does not prove safety, quality, a complete multi-file selection or a successful run.

Page text updated .

Model metadata: As of at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked .

Key facts

Catalog record
Summarizes upstream metadata; it is not itself a download or run receipt.
File evidence
Lists exact filenames, availability and any recorded SHA-256 for individual files.
Run evidence
Reports measured results only when a receipt exists for named file bytes and a setup; otherwise unmeasured.
Checksum scope
SHA-256 fingerprints one file’s bytes; it does not prove safety, quality or a multi-file bundle.

Evidence you can inspect (plain text)

  • This page’s quick answer names the file record for hf-model-trl-internal-testing-dummy-gpt2-correct-vocab.
  • Open /artifact/hf-model-trl-internal-testing-dummy-gpt2-correct-vocab/files for exact filenames, availability and any recorded SHA-256 for this model.
  • Open /evidence/artifacts/hf-model-trl-internal-testing-dummy-gpt2-correct-vocab for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-trl-internal-testing-dummy-gpt2-correct-vocab/card.md for machine-readable source facts (not a runtime test).
  • A matching checksum on this page fingerprints only the named bytes shown in file evidence.

Unmeasured states are stated explicitly; this page does not invent run scores or compatibility guarantees.

Which date applies to which fact

  • File availability check:
  • Committed page-copy sources:
  • Upstream model metadata: Dates on artifact records when shown; not implied by page-copy revision
  • Run receipts: Only on /evidence pages when recorded; otherwise unmeasured

Page-copy revision (Updated line above) identifies committed text sources, not upstream model edits or test outcomes.

Requirements and source record

Try browser chat with a small demo model (a separate model; device support is checked before loading).

trl-internal-testing/dummy-GPT2-correct-vocab

Content controls: not assessed.

The catalog lists this model for having conversations. Catalog sources: publisher tags, task label, model card task.

Download availability is being checked.

Hashes recorded. Date not recorded.

File大小SHA-256来源下载
Weights
model.safetensors6.64 MB
dc132db8…fc770576dc132db8b572ce6edbe952c14515e0691cfea57f8a7e74c2acee3f7bfc770576
Download availability is being checked.File metadata
Tokenizer & config
config.json791 bytes
6d321f93…feae61806d321f9347f664848630ae46e8640d5765097b4ebe9471b6c7615a8bfeae6180
Download availability is being checked.File metadata
generation_config.json143 bytes
bfa10d8b…14278f41bfa10d8b6984e1af6605427a4a157013780b41f5c6ff0f16ff23eb6714278f41
Download availability is being checked.File metadata
merges.txt456.3 KB-Download availability is being checked.File metadata
special_tokens_map.json99 bytes
6f50ab5a…5fdae7ad6f50ab5a5a509a1c309d6171f339b196a900dc9c99ad0408ff23bb615fdae7ad
Download availability is being checked.File metadata
tokenizer.json2.11 MB
a6aa29bf…1f78b6b8a6aa29bf8416d74ad795a73262b1aa3f985564ee338adbee7ffbc5861f78b6b8
Download availability is being checked.File metadata
tokenizer_config.json636 bytes
5b4112af…aa7cb5785b4112af7bff2028a72b6921c7b0ad2bb1e99c688aa54037705099baaa7cb578
Download availability is being checked.File metadata
vocab.json798.2 KB-Download availability is being checked.File metadata
Docs
.gitattributes1.48 KB-Download availability is being checked.File metadata
README.md729 bytes-Download availability is being checked.File metadata

检查下载文件

In the folder where you saved model.safetensors, run:

macOS
shasum -a 256 -- 'model.safetensors'
Linux
sha256sum -- 'model.safetensors'
Windows
Get-FileHash -LiteralPath 'model.safetensors' -Algorithm SHA256

Compare the result with the recorded SHA-256.